GoodTime has released its fifth annual Hiring Insights Report, a comprehensive analysis based on an independent study of more than 500 U.S. talent acquisition leaders. The report reveals a hiring market under unprecedented strain. Most (90%) companies failed to meet their hiring goals, but a small group of top-performing organizations has pulled ahead by embracing AI to scale hiring without adding or reducing headcount. Instead, they are scaling through automation, AI-driven scheduling, and standardized workflows, achieving better outcomes with the same or fewer resources. 

Key findings include the following. 

  • The hiring system is under strain. Most (90%) of companies missed their hiring goals, and one in three missed by a wide margin. 
  • Top performers are scaling without growing headcount. High-performing TA teams are significantly less likely to increase headcount, relying instead on automation and AI-orchestrated workflows to improve efficiency. 
  • Scheduling is breaking hiring. Recruiters spend 38% of their time scheduling interviews—the single biggest operational tax measured. 
  • AI is no longer optional. Nearly all (99.8%) of TA teams use, pilot, or plan to use AI agents, making AI effectively mandatory. 
  • Time-to-hire continues to worsen. Approximately 60% of organizations saw time-to-hire increase, while only one in nine managed to hire faster. 
  • Fraud becomes the top threat. Fraudulent or AI-assisted candidates are now the top anticipated hiring challenge in 2026, surpassing lack of qualified talent. 

“The hiring challenge in 2026 isn’t about adding more people or cutting teams. It’s about redesigning how hiring work gets done,” says Ahryun Moon, CEO and co-founder of GoodTime. “The teams that are outperforming everyone else aren’t increasing or reducing headcount. They’ve restructured their organizations around an AI-enabled future, where automation handles coordination and complexity so humans keep their focus on judgment, relationships, and the moments that truly require a human touch.” 

The report shows that while nearly all TA teams have adopted AI, how AI is used (not whether it’s used) is what separates top performers from everyone else. Leading teams have reorganized roles and workflows around AI-powered scheduling, analytics, and orchestration, rather than adding recruiters or relying on top-of-funnel automation. This approach allows them to move faster, surface better signals, protect candidate experience, and improve quality-of-hire—without growing their teams. 

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